文章摘要
李大光.大数据时代的公众理解科学[J].科普研究,2015,10(2):5~11
大数据时代的公众理解科学
Public Understanding of Science in Big Data Age
  
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英文关键词: 
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作者单位
李大光 中国科学院大学人文学院 
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中文摘要:
      大数据时代对公众理解科学研究提出了挑战。应用技术已经渗透进公众生活的最微小之处,对公众的产生的怀疑已经不能仅仅归结为科学素养水平低或者所谓的“素质低”。美国近些年对科学素养测试题的争论以及科学知识与态度之间的非线性趋势,意味着不能仅依靠主观的问卷设计和抽样调查就得出可信结果。大数据为观察公众对科学技术的理解形成的模式的多种因素,以及对态度的影响的因素可能会有新的发现。文章提出大数据的社会模式以及其他建议,其目的是引发更多讨论。
英文摘要:
      Big Data Age poses challenges for studies on public understanding of science research.Application technology has penetrated into all aspect of public life. The public skeptical of science and technology could not only be due to low level of scientific literacy,or the so-called“low quality”. The NSF of United States has been in the debate recent years,on science literacy test and nonlinear trend between scientific knowledge and attitude. The research in the past 30 years warns us that we could not just rely on questionnaire and sampling survey to get credible results. Big Data could suggest a model for observingthe change of public understanding of science and technology and the attitude,and the influential factors. The purpose of this paper gives a idea of the social mode of Big Data in China and other recommendations,and bringing more discussions.
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